Triple
T10909767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinhoyi |
E257663
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Banket |
E672884
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Banket | Statement: [Chinhoyi, hasNearbySettlement, Banket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banket Context triple: [Chinhoyi, hasNearbySettlement, Banket]
-
A.
Banket
chosen
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
-
B.
Banquet
"Banquet" is a song from Joni Mitchell's 1972 album *For the Roses*, reflecting her introspective folk-rock style and lyrical social commentary.
-
C.
Banquet
"Banquet" is a breakout indie rock single by British band Bloc Party, known for its angular guitar riffs and energetic post-punk revival sound.
-
D.
The Restaurant
The Restaurant is a television series produced by Reveille Productions that follows the behind-the-scenes drama of launching and running a high-profile restaurant.
-
E.
The Buffet
The Buffet is a 2015 studio album by American R&B singer R. Kelly that blends contemporary R&B with elements of soul, hip hop, and pop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1554fc61c8190a0354e2f24cb62e4 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.